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An Integrated Location–Scheduling–Routing Framework for a Smart Municipal Solid Waste System

Omid Hashemi-Amiri, Ran Ji () and Kuo Tian
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Omid Hashemi-Amiri: Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA 22030, USA
Ran Ji: Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA 22030, USA
Kuo Tian: Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA 22030, USA

Sustainability, 2023, vol. 15, issue 10, 1-24

Abstract: In recent decades, the explosion of the waste generation rate and corresponding environmental impacts worldwide have turned waste management into one of the most vital services in urban areas to alleviate the waste-related issues. In this study, a novel integrated model is developed to improve the municipal solid waste system by considering the facility location, shift scheduling, and vehicle routing decisions. The problem is formulated as a tri-objective mixed-integer linear programming model, striving to optimize the sustainable development goals in the waste system. These objectives encompass the total profit, air pollution emissions, citizen satisfaction, and social risk factors. The findings from this study illustrate that the proposed integrated framework empowers decision makers to maintain the resilience of the municipal solid waste system by concurrently addressing three critical sustainability aspects.

Keywords: municipal solid waste; facility location; shift scheduling; vehicle routing problem; waste collection; sustainable development goals (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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